Patrick Reed
Patrick Reed
Joseph C. Ford Professor of Engineering, School of Civil and Environmental Engineering, Cornell
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Zitiert von
Zitiert von
State of the art for genetic algorithms and beyond in water resources planning and management
J Nicklow, P Reed, D Savic, T Dessalegne, L Harrell, A Chan-Hilton, ...
Journal of Water Resources Planning and Management 136 (4), 412-432, 2010
Borg: An auto-adaptive many-objective evolutionary computing framework
D Hadka, P Reed
Evolutionary computation 21 (2), 231-259, 2013
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
HR Maier, Z Kapelan, J Kasprzyk, J Kollat, LS Matott, MC Cunha, ...
Environmental Modelling & Software 62, 271-299, 2014
Evolutionary multiobjective optimization in water resources: The past, present, and future
PM Reed, D Hadka, JD Herman, JR Kasprzyk, JB Kollat
Advances in water resources 51, 438-456, 2013
Many objective robust decision making for complex environmental systems undergoing change
JR Kasprzyk, S Nataraj, PM Reed, RJ Lempert
Environmental Modelling & Software 42, 55-71, 2013
Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design
JB Kollat, PM Reed
Advances in Water Resources 29 (6), 792-807, 2006
How should robustness be defined for water systems planning under change?
JD Herman, PM Reed, HB Zeff, GW Characklis
Journal of Water Resources Planning and Management 141 (10), 04015012, 2015
Diagnostic assessment of search controls and failure modes in many-objective evolutionary optimization
D Hadka, P Reed
Evolutionary computation 20 (3), 423-452, 2012
Designing a competent simple genetic algorithm for search and optimization
P Reed, B Minsker, DE Goldberg
Water Resources Research 36 (12), 3757-3761, 2000
Characterization of watershed model behavior across a hydroclimatic gradient
K van Werkhoven, T Wagener, P Reed, Y Tang
Water Resources Research 44 (1), 2008
Cost‐effective long‐term groundwater monitoring design using a genetic algorithm and global mass interpolation
P Reed, B Minsker, AJ Valocchi
Water Resources Research 36 (12), 3731-3741, 2000
Striking the balance: long-term groundwater monitoring design for conflicting objectives
PM Reed, BS Minsker
Journal of Water Resources Planning and Management 130 (2), 140-149, 2004
A framework for visually interactive decision-making and design using evolutionary multi-objective optimization (VIDEO)
JB Kollat, P Reed
Environmental Modelling & Software 22 (12), 1691-1704, 2007
Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models
K Van Werkhoven, T Wagener, P Reed, Y Tang
Advances in Water Resources 32 (8), 1154-1169, 2009
Managing population and drought risks using many‐objective water portfolio planning under uncertainty
JR Kasprzyk, PM Reed, BR Kirsch, GW Characklis
Water Resources Research 45 (12), 2009
The future of water resources systems analysis: Toward a scientific framework for sustainable water management
CM Brown, JR Lund, X Cai, PM Reed, EA Zagona, A Ostfeld, J Hall, ...
Water resources research 51 (8), 6110-6124, 2015
Advancing the identification and evaluation of distributed rainfall‐runoff models using global sensitivity analysis
Y Tang, P Reed, K Van Werkhoven, T Wagener
Water Resources Research 43 (6), 2007
Reducing uncertainty in predictions in ungauged basins by combining hydrologic indices regionalization and multiobjective optimization
Z Zhang, T Wagener, P Reed, R Bhushan
Water Resources Research 44 (12), 2008
Many-objective de Novo water supply portfolio planning under deep uncertainty
JR Kasprzyk, PM Reed, GW Characklis, BR Kirsch
Environmental Modelling & Software 34, 87-104, 2012
Simplifying multiobjective optimization: An automated design methodology for the nondominated sorted genetic algorithm‐II
P Reed, BS Minsker, DE Goldberg
Water Resources Research 39 (7), 2003
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